This Week’s Top 10 in Data Journalism

ByGIJN & Connected Action |March 1, 2018

Iconic Infographics: Interactive of the most iconic infographics in the past 300 years, by RJ Andrews.

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 19 to 25 finds economist @SethS_D analyzing Spotify data to find the correlation between our birth year and our music influences, @infowetrust illustrates three centuries of iconic infographics in a beautiful 17th century-styled dataviz and @EdjNet‘s Stats Monitor gives you #ddj news leads on European data.

What’s Your Favorite Tune?

Economist Seth Stephens-Davidowitz analyzed Spotify music data to see to what extent the year we were born influences the music we listen to. He discovered a pattern where men’s and women’s favorite songs largely came out when they were ages 14 and 13, respectively.

300 Years of DataViz

RJ Andrews created a cool full screen interactive is in the style of a 17th century manuscript, which lets you explore the first 300 years of data visualization. He also has a detailed blog on the process of creating and troubleshooting it.

Eurostat’s Monitor

The European Data Journalism Network has a Stats Monitor that gives you news leads based on data from Eurostat. It signals interesting trends, changes and outliers. The platform allows you to visualize your stories and embed charts directly on your own website.

Fast and Furious 5G

Telecommunications provider Swisscom is planning to roll out 5G technology in Switzerland in the fourth quarter of 2018. Tages-Anzeiger created a simple interactive to show readers how fast downloads will be compared to the current 3G and 4G technology.

How fast will 5G internet speeds be? This site compares the downloading of an 800MB movie file to previous generations. Wow.
(In German but you’ll get it).https://t.co/NQUvMj9GKw

Berlin Noise Pollution

How loud is it at your doorstep? Find out your street’s noise decibel level with Berliner Morgenpost’s interactive visualization of noise pollution in Berlin. Three causes are pinpointed: traffic, public transportation and airplanes.

Car Thefts in São Paulo

Estadao analyzed more than 419,000 car robberies in Greater São Paulo over the past decade and visualized them in this sensational dataviz. It found that the crime migrated from the center to the periphery of the metropolitan region.

Interactive map of São Paulo about where cars are being stolen. 10 years ago, there were more case in the city center, now it’s more in the suburbs.

Brazil’s Data Transparency

O Globo reported that up until early February, only 47 percent of federal agencies in Brazil complied with a decree requiring data transparency, which was instituted in May 2016 when Dilma Rousseff was president.

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What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 26 to March 4 finds @morgenpost setting Germany’s poll data to music, @A_agadjanian showing Google Trends data on people’s general interest in gun control a week after deadly shootings in the US and @puntofisso rounding up an interesting list of #ddj and #opendata newsletters.